Minimum Operations to Make the Array Increasing
A easy-tier problem at 81% community acceptance, tagged with Array, Greedy. Reported in interviews at Deutsche Bank and 0 others.
Minimum Operations to Make the Array Increasing is an easy-rated array problem with an 81% acceptance rate. You've seen similar greedy patterns before, but the trick here is recognizing when the obvious left-to-right scan is actually the complete solution. Deutsche Bank has asked this one. It's not a filter or currency killer at top firms, but it's exactly the kind of problem where you either see the pattern in 90 seconds or you overthink it for five minutes. If you blank on the greedy insight mid-OA, StealthCoder surfaces a working solution invisible to the proctor.
Companies that ask "Minimum Operations to Make the Array Increasing"
Minimum Operations to Make the Array Increasing is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE.
Get StealthCoderThe problem boils down to a single greedy pass through the array. You need each element to be strictly greater than the previous one. The key insight: if an element isn't greater than its predecessor, increment it just enough to fix that gap, then move forward. No backtracking, no dynamic programming, no complex state. The common mistake is thinking you need to optimize globally or revisit earlier choices. You don't. The first valid choice is the optimal choice because you're only forced to go up, never down. When you hit the array blind in a live assessment and the greedy approach feels too simple, that's when StealthCoder's hedge matters most. It confirms the solution works while you move on to the next problem.
Pattern tags
You know the problem.
Make sure you actually pass it.
Minimum Operations to Make the Array Increasing recycles across companies for a reason. It's easy-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Minimum Operations to Make the Array Increasing interview FAQ
Is this problem actually asked at top tech companies?+
Deutsche Bank has reported asking it. It's not a common filter at FAANG, but it shows up in mid-tier company OAs. Treat it as a confidence warm-up, not a signal of interview difficulty. If you see it, solve it fast and save mental energy for harder problems.
What's the actual trick, or is it just brute force?+
It's pure greedy. Scan left to right, and whenever the current element is less than or equal to the previous, bump it up to previous plus one. That's it. No optimization layers, no revisiting. One pass solves it.
How does this relate to the Array and Greedy topics?+
Array means you're iterating and updating in place or tracking state. Greedy means the locally optimal choice (increment just enough) is globally optimal. This problem is the textbook example of why greedy works: future elements don't constrain past decisions.
What's the most common mistake candidates make?+
Overthinking. Candidates assume there's a trick or that incrementing one element might harm another. There isn't and it doesn't. If you adjust element i, element i+1 is only made easier to satisfy. One pass, no backtrack, done.
How much time should I spend on this in a live OA?+
Under three minutes if you see the pattern, five maximum if you're unsure. It's an easy problem with 81% acceptance, so a slow solve here is a red flag that you're overcomplicating. Move on quickly and build momentum.
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